Infants gaze pattern analyzing using contrast entropy minimization. - Ali Mahdi 002; Matthew Schlesinger; Dima Amso; Jun Qin (ICDL-EPIROB, 2015)

DeepFeat: A Bottom Up and Top Down Saliency Model Based on Deep Features of Convolutional Neural Nets. - Ali Mahdi 002; Jun Qin (CoRR, 2017)

Bottom up saliency evaluation via deep features of state-of-the-art convolutional neural networks. - Ali Mahdi 002; Jun Qin (BHI, 2018)

Speech enhancement in spectral envelope and details subspaces. - Pengfei Sun; Ali Mahdi 002; Jianhong Xu; Jun Qin (Speech Commun., 2018)

A Comparison Study of Saliency Models for Fixation Prediction on Infants and Adults. - Ali Mahdi 002; Mei Su 004; Matthew Schlesinger; Jun Qin (IEEE Trans. Cogn. Dev. Syst., 2018)

Evaluation of bottom-up saliency model using deep features pretrained by deep convolutional neural networks. - Ali Mahdi 002; Jun Qin (J. Electronic Imaging, 2019)

An extensive evaluation of deep featuresof convolutional neural networks for saliency prediction of human visual attention. - Ali Mahdi 002; Jun Qin (J. Vis. Commun. Image Represent., 2019)

DeepFeat: A Bottom-Up and Top-Down Saliency Model Based on Deep Features of Convolutional Neural Networks. - Ali Mahdi 002; Jun Qin; Garth V. Crosby (IEEE Trans. Cogn. Dev. Syst., 2020)